Analyzing abstraction in critical agri-food studies and computer science: toward interdisciplinary analysis of digital agriculture innovation

Excitement about digital agriculture—i.e., expanded reliance on collecting, integrating, analyzing, and applying digital data in agri-food systems—is bringing two different conceptualizations of abstraction into collision and dialogue. Critical agri-food scholars have long expressed concerns about disembedding—or abstracting—agriculture from particular geographies, farmers’ varied interests, and ecological processes. In contrast, in computer science, abstraction is understood as beneficial for taming the complexities of technology and supporting the development of general-purpose tools. In this paper, we compare these very different theorizations of abstraction through an ethnographic case study of the early development of new digital agriculture networking infrastructure. We analyze how the commitments to abstraction in computer science relate to and depart from critical agri-food studies' critiques of decontextualization and disembedding. The study is based on a long-term collaboration between computer networking researchers and social scientists. Our findings indicate that the commitment to abstraction by computer network scientists leads them to engage minimally with critical agri-food studies’ concerns regarding historical processes of agricultural industrialization and their effect on farm size, the labor process, and the environment, but produces deep engagement with concerns regarding corporate control of innovation trajectories. We find, however, that the technologists focus on open innovation and vendor lock-in in order to expand the scale, scope, and pace of innovation, rather than to advance social justice and environmental sustainability, demonstrating that openness can be understood and practiced in various ways. Through integrated treatment of abstraction in computer science and critical agri-food studies, this article highlights opportunities and constraints for interdisciplinary analysis pertaining to the development of digital agriculture. Through ethnographic analysis of digital agriculture research and development, we identify mechanisms through which contemporary innovation processes are likely to reinforce the social, economic, and ecological relations of conventional agriculture.